My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.
Experiment with a basic version of the transformer model to learn how it processes language.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeMy implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.
pytorch-original-transformer has 1.1k stars on GitHub. It has been forked 187 times. pytorch-original-transformer is written mainly in Jupyter Notebook. It has been in active development since 2020. pytorch-original-transformer is available under the MIT license. Its main topics are attention, attention-is-all-you-need, attention-mechanism, deep-learning.
My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.
pytorch-original-transformer is an open-source project. It is released under the MIT license.
Yes. pytorch-original-transformer is free and open source — you can use, modify and self-host it.
pytorch-original-transformer is available under the MIT license.
pytorch-original-transformer is written mainly in Jupyter Notebook.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/gordicaleksa-pytorch-original-transformer.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.